Audio Plugin Example Gallery

Use these Audio Toolbox™ plugin examples as building blocks in larger systems, as models for design patterns, or as benchmarks for comparison. Search the plugin descriptions to find an example that meets your needs.

Audio Effects

Chorus

Chorus
	Name: `audiopluginexample.Chorus` Type: Basic plugin Description: Adds an audio chorus effect. The chorus effect is implemented by modulating two delay lines. Design Patterns: dependent properties, wet/dry mix, sample rate Features Used: `dsp.VariableFractionalDelay`, `audioOscillator` Related Example: Delay-Based Audio Effects Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.Chorus

Type: Basic plugin

Description: Adds an audio chorus effect. The chorus effect is implemented by modulating two delay lines.

Design Patterns: dependent properties, wet/dry mix, sample rate

Features Used: dsp.VariableFractionalDelay, audioOscillator

Related Example: Delay-Based Audio Effects

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Echo

Echo
	Name: `audiopluginexample.Echo` Type: Basic plugin Description: Implements an audio echo effect using two delay lines. The plugin user tunes the delay taps in seconds, the gain of the delay taps, and the output dry/wet mix. Design Patterns: dependent properties, wet/dry mix, sample rate, MEX function called from a property, delay line with feedback Related Example: Delay-Based Audio Effects Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.Echo

Type: Basic plugin

Description: Implements an audio echo effect using two delay lines. The plugin user tunes the delay taps in seconds, the gain of the delay taps, and the output dry/wet mix.

Design Patterns: dependent properties, wet/dry mix, sample rate, MEX function called from a property, delay line with feedback

Related Example: Delay-Based Audio Effects

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Flanger

Flanger
	Name: `audiopluginexample.Flanger` Type: Basic plugin Description: Implements an audio flanging effect using a modulated delay line. The plugin user tunes the delay tap in seconds, the amplitude and frequency of the delay line modulation, and the output dry/wet mix. Design Patterns: dependent properties, wet/dry mix, MEX function called from a property, delay line with feedback Features Used: `dsp.VariableFractionalDelay` Related Example: Delay-Based Audio Effects Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.Flanger

Type: Basic plugin

Description: Implements an audio flanging effect using a modulated delay line. The plugin user tunes the delay tap in seconds, the amplitude and frequency of the delay line modulation, and the output dry/wet mix.

Design Patterns: dependent properties, wet/dry mix, MEX function called from a property, delay line with feedback

Features Used: dsp.VariableFractionalDelay

Related Example: Delay-Based Audio Effects

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LFO Filter

LFO Filter
	Name: `audiopluginexample.LFOFilter` Type: Basic plugin Description: Implements a low frequency oscillator (LFO) controlled lowpass filter. The LFO controls the cutoff frequency of the lowpass filter. The plugin user tunes the type of control signal, and its frequency, amplitude, and DC offset. The plugin user also tunes the Q factor of the lowpass filter. Design Patterns: enum helper class for enum parameter mapping, log parameter mapping, real-time visualization, waveform design with UI Features Used: `audioOscillator`, `wavetableSynthesizer`, `dsp.SOSFilter` Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.LFOFilter

Type: Basic plugin

Description: Implements a low frequency oscillator (LFO) controlled lowpass filter. The LFO controls the cutoff frequency of the lowpass filter. The plugin user tunes the type of control signal, and its frequency, amplitude, and DC offset. The plugin user also tunes the Q factor of the lowpass filter.

Design Patterns: enum helper class for enum parameter mapping, log parameter mapping, real-time visualization, waveform design with UI

Features Used: audioOscillator, wavetableSynthesizer, dsp.SOSFilter

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Phaser

Phaser
	Name: `audiopluginexample.Phaser` Type: Basic plugin Description: Implements an audio phaser effect. Design Patterns: plugin composition Features Used: `audioOscillator` `multibandParametricEQ`, `audiopluginexample.MultiNotchFilter` Related Example: Audio Phaser Using Multiband Parametric Equalizer Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.Phaser

Type: Basic plugin

Description: Implements an audio phaser effect.

Design Patterns: plugin composition

Features Used: audioOscillator multibandParametricEQ, audiopluginexample.MultiNotchFilter

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Pitch Shifter

Pitch Shifter
	Name: `audiopluginexample.PitchShifter` Type: System object™ plugin Description: Implements a pitch-shifting algorithm using cross-fading between two channels with time-varying delays and gains. Design Patterns: integer parameter mapping, `DiscreteState`, multiple outputs for MATLAB^® validation and analysis Features Used: `dsp.VariableFractionalDelay` Related Example: Delay-Based Pitch Shifter Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.PitchShifter

Type: System object™ plugin

Description: Implements a pitch-shifting algorithm using cross-fading between two channels with time-varying delays and gains.

Design Patterns: integer parameter mapping, DiscreteState, multiple outputs for MATLAB^® validation and analysis

Features Used: dsp.VariableFractionalDelay

Related Example: Delay-Based Pitch Shifter

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Strobe

Strobe
	Name: `audiopluginexample.Strobe` Type: Basic plugin Description: Implements an audio strobing effect. Tunable parameters of the plugin include the strobe period, the strobe fill, a relative level threshold for implementing the effect, and the ability to synchronize the strobe period with the audio signal dynamics. Design Patterns: logical parameters, enum helper class for enum parameter mapping Features Used: `audioOscillator` Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.Strobe

Type: Basic plugin

Description: Implements an audio strobing effect. Tunable parameters of the plugin include the strobe period, the strobe fill, a relative level threshold for implementing the effect, and the ability to synchronize the strobe period with the audio signal dynamics.

Design Patterns: logical parameters, enum helper class for enum parameter mapping

Features Used: audioOscillator

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Filters

Bandpass IIR Filter

Bandpass IIR Filter
	Name: `audiopluginexample.BandpassIIRFilter` Type: Basic plugin Description: Implements a bandpass filter using a second-order IIR filter. The plugin parameters are the center frequency and Q-factor. Design Patterns: log parameter mapping, dependent properties, efficient management of tunable properties (in `SecondOrderIIRFilter`), visualization while processing (in `SecondOrderIIRFilter`), inherit from abstract base class Features Used: `filter` Related Example: Tunable Filtering and Visualization Using Audio Plugins Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.BandpassIIRFilter

Type: Basic plugin

Description: Implements a bandpass filter using a second-order IIR filter. The plugin parameters are the center frequency and Q-factor.

Design Patterns: log parameter mapping, dependent properties, efficient management of tunable properties (in SecondOrderIIRFilter), visualization while processing (in SecondOrderIIRFilter), inherit from abstract base class

Features Used: filter

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Fast Convolver

Fast Convolver
	Name: `audiopluginexample.FastConvolver` Type: System object plugin Description: Convolves input with long impulse responses without adding long latency. Time-domain convolution of an input frame with a long impulse response adds latency equal to the length of the impulse response. The algorithm in this plugin uses frequency-domain partitioned convolution to reduce the latency. Being efficient, this algorithm also allows for real-time convolution with larger impulse responses. Design Patterns: no tunable parameters, latency reporting Features Used: `dsp.FrequencyDomainFIRFilter`, `setLatencyInSamples` Related Example: Measure Impulse Response of an Audio System Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.FastConvolver

Type: System object plugin

Description: Convolves input with long impulse responses without adding long latency. Time-domain convolution of an input frame with a long impulse response adds latency equal to the length of the impulse response. The algorithm in this plugin uses frequency-domain partitioned convolution to reduce the latency. Being efficient, this algorithm also allows for real-time convolution with larger impulse responses.

Design Patterns: no tunable parameters, latency reporting

Features Used: dsp.FrequencyDomainFIRFilter, setLatencyInSamples

Related Example: Measure Impulse Response of an Audio System

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Highpass IIR Filter

Highpass IIR Filter
	Name: `audiopluginexample.HighpassIIRFilter` Type: Basic plugin Description: Implements a highpass filter using a second-order IIR filter. The plugin parameters are the cutoff frequency and Q-factor. Design Patterns: log parameter mapping, `Dependent` properties, efficient management of tunable properties (in `SecondOrderIIRFilter`), visualization while processing (in `SecondOrderIIRFilter`), inherit from abstract base class Features Used: `filter` Related Example: Tunable Filtering and Visualization Using Audio Plugins Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.HighpassIIRFilter

Type: Basic plugin

Description: Implements a highpass filter using a second-order IIR filter. The plugin parameters are the cutoff frequency and Q-factor.

Design Patterns: log parameter mapping, Dependent properties, efficient management of tunable properties (in SecondOrderIIRFilter), visualization while processing (in SecondOrderIIRFilter), inherit from abstract base class

Features Used: filter

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Lowpass IIR Filter

Lowpass IIR Filter
	Name: `audiopluginexample.LowpassIIRFilter` Type: Basic plugin Description: Implements a lowpass filter using a second-order IIR filter. The plugin parameters are the cutoff frequency and Q-factor. Design Patterns: log parameter mapping, `Dependent` properties, efficient management of tunable properties (in `SecondOrderIIRFilter`), filter visualization while processing (in `SecondOrderIIRFilter`), inherit from abstract base class Features Used: `filter` Related Example: Tunable Filtering and Visualization Using Audio Plugins Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.LowpassIIRFilter

Type: Basic plugin

Description: Implements a lowpass filter using a second-order IIR filter. The plugin parameters are the cutoff frequency and Q-factor.

Design Patterns: log parameter mapping, Dependent properties, efficient management of tunable properties (in SecondOrderIIRFilter), filter visualization while processing (in SecondOrderIIRFilter), inherit from abstract base class

Features Used: filter

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Multi-Notch IIR Filter

Multi-Notch IIR Filter
	Name: `audiopluginexample.MultiNotchFilter` Type: System object plugin Description: Implements a notching IIR filter with tunable notch frequencies and quality factor. Features Used: `multibandParametricEQ` Related Example: Audio Phaser Using Multiband Parametric Equalizer Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.MultiNotchFilter

Type: System object plugin

Description: Implements a notching IIR filter with tunable notch frequencies and quality factor.

Features Used: multibandParametricEQ

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Shelving Equalizer

Shelving Equalizer
	Name: `audiopluginexample.ShelvingEqualizer` Type: System object plugin Description: Implements a shelving equalizer with tunable cutoffs, gains, and slopes. Design Patterns: log parameter mapping, filter visualization Features Used: `designShelvingEQ`, `dsp.SOSFilter` Related Example: Tunable Filtering and Visualization Using Audio Plugins Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.ShelvingEqualizer

Type: System object plugin

Description: Implements a shelving equalizer with tunable cutoffs, gains, and slopes.

Design Patterns: log parameter mapping, filter visualization

Features Used: designShelvingEQ, dsp.SOSFilter

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Variable Slope Bandpass Filter

Variable Slope Bandpass Filter
	Name: `audiopluginexample.VarSlopeBandpassFilter` Type: System object plugin Description: Implements a variable slope IIR bandpass filter with tunable cutoff frequencies and slopes. Design Patterns: string enum parameter mapping, log parameter mapping, filter visualization Features Used: `designVarSlopeFilter`, `dsp.SOSFilter` Related Example: Tunable Filtering and Visualization Using Audio Plugins Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.VarSlopeBandpassFilter

Type: System object plugin

Description: Implements a variable slope IIR bandpass filter with tunable cutoff frequencies and slopes.

Design Patterns: string enum parameter mapping, log parameter mapping, filter visualization

Features Used: designVarSlopeFilter, dsp.SOSFilter

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Gain Control

Bass Enhancer

Bass Enhancer
	Name: `audiopluginexample.BassEnhancer` Type: System object plugin Description: Implements a psychoacoustic bass enhancement algorithm. The plugin parameters are the upper cutoff frequency of the bandpass filter and the gain applied at the output of the bandpass filter. Design Patterns: plugin composition Features Used: `crossoverFilter`, `audioexample.FullWaveIntegrator`, `audiopluginexample.VarSlopeBandpassFilter`, `dsp.FIRFilter` Related Example: Psychoacoustic Bass Enhancement for Band-Limited Signals Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.BassEnhancer

Type: System object plugin

Description: Implements a psychoacoustic bass enhancement algorithm. The plugin parameters are the upper cutoff frequency of the bandpass filter and the gain applied at the output of the bandpass filter.

Design Patterns: plugin composition

Features Used: crossoverFilter, audioexample.FullWaveIntegrator, audiopluginexample.VarSlopeBandpassFilter, dsp.FIRFilter

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Volume Controller

Volume Controller
	Name: `audiopluginexample.VolumeController` Type: Basic plugin Description: Control the volume of an audio signal as well as the left/right balance in stereo signals. Additionally, use the Transition Time parameter to specify the delay to apply the changes to the signal. Design Patterns: power parameter mapping, multiple outputs for MATLAB validation and analysis Features Used: `audioexample.DampedParameter` Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.VolumeController

Type: Basic plugin

Description: Control the volume of an audio signal as well as the left/right balance in stereo signals. Additionally, use the Transition Time parameter to specify the delay to apply the changes to the signal.

Design Patterns: power parameter mapping, multiple outputs for MATLAB validation and analysis

Features Used: audioexample.DampedParameter

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Spatial Audio

Ambisonic Encoder

Ambisonic Encoder
	Name: `audiopluginexample.AmbiEncoderPlugin` Type: Basic plugin Description: Specify the microphone locations by tuning the azimuth and elevation. Encode streaming audio into ambisonics using the process function. Design Patterns: Multi-channel, variable number of channels, ambisonic encoding Features Used: `audioexample.ambisonics.ambiencodemtrx`, `audioexample.ambisonics.ambiencode` Related Example: Ambisonic Plugin Generation Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.AmbiEncoderPlugin

Type: Basic plugin

Description: Specify the microphone locations by tuning the azimuth and elevation. Encode streaming audio into ambisonics using the process function.

Design Patterns: Multi-channel, variable number of channels, ambisonic encoding

Features Used: audioexample.ambisonics.ambiencodemtrx, audioexample.ambisonics.ambiencode

Related Example: Ambisonic Plugin Generation

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Ambisonic Decoder

Ambisonic Decoder
	Name: `audiopluginexample.AmbiDecoderPlugin` Type: Basic plugin Description: Specify desired virtual speaker locations by tuning the azimuth and elevation. Decode ambisonic-encoded audio using the process function. Design Patterns: Multi-channel, variable number of channels, ambisonic decoding Features Used: `audioexample.ambisonics.ambidecodemtrx`, `audioexample.ambisonics.ambidecode` Related Example: Ambisonic Plugin Generation Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.AmbiDecoderPlugin

Type: Basic plugin

Description: Specify desired virtual speaker locations by tuning the azimuth and elevation. Decode ambisonic-encoded audio using the process function.

Design Patterns: Multi-channel, variable number of channels, ambisonic decoding

Features Used: audioexample.ambisonics.ambidecodemtrx, audioexample.ambisonics.ambidecode

Related Example: Ambisonic Plugin Generation

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Communicate Between MATLAB and DAW

Parametric Equalizer with UDP

Parametric Equalizer with UDP
	Name: `audiopluginexample.ParametricEqualizerWithUDP` Type: System object plugin Description: Implements a three-band parametric equalizer with tunable center frequencies, Q-factors, and gains. A UDP sender enables the generated VST plugin to communicate with MATLAB. The digital audio workstation and MATLAB can then exchange information in real time. This plugin uses UDP to send the equalizer filter coefficients back to MATLAB for visualization purposes. You can alter this plugin to send the input or output audio instead of, or in addition to, the filter coefficients. Design Patterns: log parameter mapping, filter visualization Features Used: `designParamEQ`, `dsp.UDPSender` Related Example: Communicate Between a DAW and MATLAB Using UDP Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.ParametricEqualizerWithUDP

Type: System object plugin

Description: Implements a three-band parametric equalizer with tunable center frequencies, Q-factors, and gains. A UDP sender enables the generated VST plugin to communicate with MATLAB. The digital audio workstation and MATLAB can then exchange information in real time. This plugin uses UDP to send the equalizer filter coefficients back to MATLAB for visualization purposes. You can alter this plugin to send the input or output audio instead of, or in addition to, the filter coefficients.

Design Patterns: log parameter mapping, filter visualization

Features Used: designParamEQ, dsp.UDPSender

Related Example: Communicate Between a DAW and MATLAB Using UDP

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UDP Sender

UDP Sender
	Name: `audiopluginexample.UDPSender` Type: Basic plugin Description: Sends live stereo audio from a digital audio workstation (DAW) to MATLAB using UDP. Design Patterns: no tunable parameters Features Used: `dsp.UDPSender` Related Example: Communicate Between a DAW and MATLAB Using UDP Inspect Code \| Generate Plugin

Name: audiopluginexample.UDPSender

Type: Basic plugin

Description: Sends live stereo audio from a digital audio workstation (DAW) to MATLAB using UDP.

Design Patterns: no tunable parameters

Features Used: dsp.UDPSender

Related Example: Communicate Between a DAW and MATLAB Using UDP

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Music Information Retrieval

Beat Detector

Beat Detector
	Name: `audiopluginexample.BeatDetector` Type: Basic plugin Description: Estimates and displays a beat per minute (BPM) decision using the specified onset detection method. If you interact with the plugin at the command line, you can get a click track corresponding to the onsets detected using the `getClickTrack` method. Design Patterns: plugin composition, visualization, MATLAB-only features Features Used: `dsp.AsyncBuffer`, `audiopluginexample.private.OnsetDetector`, `audiopluginexample.private.MeterUI` Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.BeatDetector

Type: Basic plugin

Description: Estimates and displays a beat per minute (BPM) decision using the specified onset detection method. If you interact with the plugin at the command line, you can get a click track corresponding to the onsets detected using the getClickTrack method.

Design Patterns: plugin composition, visualization, MATLAB-only features

Features Used: dsp.AsyncBuffer, audiopluginexample.private.OnsetDetector, audiopluginexample.private.MeterUI

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Speech Processing

Spectral Subtractor

Spectral Subtractor
	Name: `audiopluginexample.SpectralSubtractor` Type: Basic plugin Description: Implements basic spectral subtraction. This plugin performs frequency-domain processing. Tunable parameters of the plugin include analysis window type, noise level estimation, analysis window time, and analysis frame overlap. Design Patterns: overlap and add (OLA) reconstruction, analysis and synthesis, enum helper class for parameter mapping, windowing Features Used: `fft`, `ifft`, `dsp.AsyncBuffer`, `audiopluginexample.private.AnalysisAndSynthesisBuffer` Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.SpectralSubtractor

Type: Basic plugin

Description: Implements basic spectral subtraction. This plugin performs frequency-domain processing. Tunable parameters of the plugin include analysis window type, noise level estimation, analysis window time, and analysis frame overlap.

Design Patterns: overlap and add (OLA) reconstruction, analysis and synthesis, enum helper class for parameter mapping, windowing

Features Used: fft, ifft, dsp.AsyncBuffer, audiopluginexample.private.AnalysisAndSynthesisBuffer

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Speech Pitch Detector

Speech Pitch Detector
	Name: `audiopluginexample.SpeechPitchDetector` Type: Basic plugin Description: Calculates pitch using a basic autocorrelation algorithm, spectral periodicity algorithm, or both. This plugin is for analysis purposes: It provides a direct feedthrough of the signal. To visualize the pitch decision, use the visualize method while processing speech data. Design Patterns: plugin composition, visualization, MATLAB-only features Features Used: `multibandParametricEQ`, `dsp.AsyncBuffer`, `dsp.FIRInterpolator`, `timescope`, `designMultirateFIR`, `fft`, `ifft`, `xcorr`, `audiopluginexample.private.VarSlopeBandpassFilter`, `audiopluginexample.private.AnalysisAndSynthesisBuffer`, `audiopluginexample.private.MeterUI` Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.SpeechPitchDetector

Type: Basic plugin

Description: Calculates pitch using a basic autocorrelation algorithm, spectral periodicity algorithm, or both. This plugin is for analysis purposes: It provides a direct feedthrough of the signal. To visualize the pitch decision, use the visualize method while processing speech data.

Design Patterns: plugin composition, visualization, MATLAB-only features

Features Used: multibandParametricEQ, dsp.AsyncBuffer, dsp.FIRInterpolator, timescope, designMultirateFIR, fft, ifft, xcorr, audiopluginexample.private.VarSlopeBandpassFilter, audiopluginexample.private.AnalysisAndSynthesisBuffer, audiopluginexample.private.MeterUI

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Deep Learning

Denoiser

Denoiser
	Name: `audiopluginexample.Denoiser` Type: Deep learning plugin Description: Denoises speech using a deep neural network. This plugin includes an optional configurable noise gate at the output of the network. To generate and use the plugin, download the pretrained deep neural network and save it to a MAT-file using this code: % Download pretrained network to current folder unzip('https://ssd.mathworks.com/supportfiles/audio/SpeechDenoising.zip',pwd) % Save relevant network in MAT-file s = load('SpeechDenoising/denoisenet.mat'); denoiseNetFullyConnected = s.denoiseNetFullyConnected; save('denoisePluginNet.mat','denoiseNetFullyConnected') Design Patterns: pretrained deep learning neural network, sample rate conversion, audio plugin coder configuration Features Used: `audioPluginConfig`, `coder.loadDeepLearningNetwork` (MATLAB Coder), `dsp.AsyncBuffer`, `dsp.FIRDecimator`, `dsp.FIRInterpolator`, `dsp.FIRRateConverter`, `dsp.ISTFT`, `dsp.STFT`, `noiseGate`, `predict` (Deep Learning Toolbox) Related Example: Denoise Speech Using Deep Learning Networks Inspect Code \| Run Plugin \| Generate Plugin

Name: audiopluginexample.Denoiser

Type: Deep learning plugin

Description: Denoises speech using a deep neural network. This plugin includes an optional configurable noise gate at the output of the network. To generate and use the plugin, download the pretrained deep neural network and save it to a MAT-file using this code:

% Download pretrained network to current folder
unzip('https://ssd.mathworks.com/supportfiles/audio/SpeechDenoising.zip',pwd)

% Save relevant network in MAT-file
s = load('SpeechDenoising/denoisenet.mat');
denoiseNetFullyConnected = s.denoiseNetFullyConnected;
save('denoisePluginNet.mat','denoiseNetFullyConnected')

Design Patterns: pretrained deep learning neural network, sample rate conversion, audio plugin coder configuration

Features Used: audioPluginConfig, coder.loadDeepLearningNetwork (MATLAB Coder), dsp.AsyncBuffer, dsp.FIRDecimator, dsp.FIRInterpolator, dsp.FIRRateConverter, dsp.ISTFT, dsp.STFT, noiseGate, predict (Deep Learning Toolbox)

Related Example: Denoise Speech Using Deep Learning Networks

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